AI Data Science Intern

Job Description

Austal USA Advanced Technologies (AT) is a division of Austal USA, a global defense prime contractor and a designer and manufacturer of defense and commercial ships.

Austal USA AT works at the forefront to invent, mature, and implement advanced maritime technologies which enhance operational capacities and improve readiness of our defense systems. Austal USA AT operates a technology hub in Charlottesville VA which works to bring cutting-edge manufacturing technologies to scale and also oversees operation of the U.S. Navy’s Additive Manufacturing Center of Excellence (AM COE) located in Danville, VA. The mission of the AM COE is to operationalize additive manufacturing in the submarine industrial base and provide emergent request support to sustain our Nation’s fleet.

REPORTS TO: Program Manager

SUPERVISES: N/A

We are seeking a highly motivated AI/Data Science Intern to join our team. This role provides an exciting opportunity to gain hands-on experience in data analysis, machine learning, and artificial intelligence. The ideal candidate will work closely with our engineering teams to develop, analyze, and optimize AI-driven solutions.

Authorities / Responsibilities

• Assist in data collection, cleaning, and preprocessing for AI/ML models.
• Develop machine learning models and AI algorithms for various applications.
• Conduct exploratory data analysis (EDA) to identify patterns and trends.
• Implement, test, and optimize deep learning and statistical models.
• Collaborate with engineers to deploy AI solutions.
• Document findings, insights, and methodologies for internal and external use.
• Research the latest AI/ML advancements and propose innovative solutions.
• Support the team in automating data pipelines and model training processes.
  
  

Eligibility

• Current undergraduate or graduate student in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, or a related field.
• Currently maintaining a minimum 2.5 overall grade point average (4.0 scale).
• Successful completion of Second Semester of discipline-specific curriculum.
• Recent graduates looking for internship opportunities may also apply.
  
  

Requirements

• Technical Skills:
• Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Familiarity with SQL and databases.
• Knowledge of data visualization tools (Matplotlib, Seaborn, Power BI, Tableau).
• Understanding of machine learning and deep learning concepts.
• Experience with Large Language Models (LLM’s) their application and use.
• Experience with setting up local LLM’s
• Soft Skills:
• Strong analytical and problem-solving abilities.
• Ability to work independently and in a team-oriented environment.
• Excellent communication and documentation skills.
• Enthusiastic about AI, data science, and continuous learning
  

LIAISES WITH: Engineers, Program Managers and Supply Chain Manager

Additional Guidelines

All candidates must meet Austal USA’s basic employment eligibility guidelines:

• 18 years or older at time of application
• Able to provide proof of US Person status
• No felony convictions of theft/deception or violent crimes within seven years from disposition date
• No felony convictions of drug crimes within three years from disposition date
• Willing to submit to a drug screen
• Willing to submit to a background check
  
  

Work Environment

The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Safety

Must comply with company, federal, state, and local safety and environmental rules and regulations while performing daily job tasks.

Equal Employment Commitment

Any qualified individual with a disability who is having difficulty in completing an application because of incompatible technology or other disability-related application issues may contact us at the following phone number for assistance: 251-445-1932.

Austal’s commitment to equal employment opportunity applies at all levels of employment, in all job titles, including the executive level, and to all employment actions, including but not limited to decisions concerning recruitment, hiring, training, and promotion.